Bottom-up estimation and top-down prediction: solar energy prediction combining information from multiple sources
type: Item
instance of: scholarly article
title: Bottom-up estimation and top-down prediction: solar energy prediction combining information from multiple sources
zbMATH Open document ID: 1411.62375
DOI: 10.1214/18-AOAS1145
author: Youngdeok Hwang
author: Siyuan Lu
author: Jae Kwang Kim
published in: The Annals of Applied Statistics
publication date: 2019-02-25T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.aoas/1542078038
Mathematics Subject Classification ID: 62P35
Mathematics Subject Classification ID: 62M20
Mathematics Subject Classification ID: 62P30
zbMATH DE Number: 7029448
zbMATH Keywords: big data prediction
zbMATH Keywords: large-scale monitoring data
zbMATH Keywords: multilevel model
zbMATH Keywords: physics models
zbMATH Keywords: solar power generation
describes a project that uses: laGP
MaRDI profile type: Publication
cites work: Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models
cites work: A split-and-conquer approach for analysis of
cites work: Multilevel mixed linear model analysis using iterative generalized least squares
cites work: Calibrating a large computer experiment simulating radiative shock hydrodynamics
cites work: On Parametric Bootstrap Methods for Small Area Prediction
cites work: A practical approach to spatio-temporal analysis
cites work: Parametric fractional imputation for missing data analysis
cites work: Modularization in Bayesian analysis, with emphasis on analysis of computer models
cites work: A statistical modeling approach for air quality data based on physical dispersion processes and its application to ozone modeling
cites work: The design and analysis of computer experiments.
cites work: A Frequentist Approach to Computer Model Calibration
cites work: Post-Fisherian Experimentation: From Physical to Virtual
OpenAlex ID: W2794607217
Wikidata QID: Q128989334
Recommended article: Estimation of photovoltaic generation forecasting models using limited information
Recommended article: Multi-aspect renewable energy forecasting
description: scientific article; zbMATH DE number 7029448